Abstract— With the rapid deployment of wireless sensor networks, there are several new sensing applications with specific requirements. Specifically, target tracking applicatio...
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
In a previous paper [Shoshani et al 99], we described a system called STACS (Storage Access Coordination System) for High Energy and Physics (HEP) experiments. These experiments g...
Arie Shoshani, Alex Sim, Luis M. Bernardo, Henrik ...
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
This paper describes a framework for detecting unusual events in surveillance videos. Most surveillance systems consist of multiple video streams, but traditional event detection ...